Local selection signals in the genome of blue tits emphasize regulatory and neuronal evolution.

Understanding the genomic landscape of adaptation is central to understanding microevolution in wild populations. Genomic targets of selection and the underlying genomic mechanisms of adaptation can be elucidated by genome-wide scans for past selective sweeps or by scans for direct fitness associations. We sequenced and assembled 150 haplotypes of 75 blue tits (Cyanistes caeruleus) of a single Central European population by a linked-read technology. We used these genome data in combination with coalescent simulations (i) to estimate an historical effective population size of ~250,000, which recently declined to ~10,000, and (ii) to identify genome-wide distributed selective sweeps of beneficial variants probably originating from standing genetic variation (soft sweeps). The genes linked to these soft sweeps, but also those linked to hard sweeps based on new beneficial mutants, showed a significant enrichment for functions associated with gene expression and transcription regulation. This emphasizes the importance of regulatory evolution in the population's adaptive history. Soft sweeps were further enriched for genes related to axon and synapse development, indicating the significance of neuronal connectivity changes in the brain potentially linked to behavioural adaptations. A previous scan of heterozygosity-fitness correlations revealed a consistent negative effect on arrival date at the breeding site for a single microsatellite in the MDGA2 gene. Here, we used the haplotype structure around this microsatellite to explain the effect as a local and direct outbreeding effect of a gene involved in synapse development.

DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics.

Data-independent acquisition (DIA) is becoming a leading analysis method in biomedical mass spectrometry. The main advantages include greater reproducibility and sensitivity and a greater dynamic range compared with data-dependent acquisition (DDA). However, the data analysis is complex and often requires expert knowledge when dealing with large-scale data sets. Here we present DIAproteomics, a multifunctional, automated, high-throughput pipeline implemented in the Nextflow workflow management system that allows one to easily process proteomics and peptidomics DIA data sets on diverse compute infrastructures. The central components are well-established tools such as the OpenSwathWorkflow for the DIA spectral library search and PyProphet for the false discovery rate assessment. In addition, it provides options to generate spectral libraries from existing DDA data and to carry out the retention time and chromatogram alignment. The output includes annotated tables and diagnostic visualizations from the statistical postprocessing and computation of fold-changes across pairwise conditions, predefined in an experimental design. DIAproteomics is well documented open-source software and is available under a permissive license to the scientific community at https://www.openms.de/diaproteomics/.

Publisher Correction: Building an international consortium for tracking coronavirus health status.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Genome-wide evidence supports mitochondrial relationships and pervasive parallel phenotypic evolution in open-habitat chats.

In wheatears and related species ('open-habitat chats'), molecular phylogenetics has led to a comprehensively revised understanding of species relationships and species diversity. Phylogenetic analyses have suggested that, in many cases, phenotypic similarities do not reflect species' relationships, revealing traditionally defined genera as non-monophyletic. This led to the suggestion of pervasive parallel evolution of open-habitat chats' plumage coloration and ecological phenotypes. However, to date, the molecular evidence for the phylogenetic relationships among open-habitat chats is mainly limited to mitochondrial DNA. Here, we assessed whether the mitochondrial relationships are supported by genome-wide data. To this end, we reconstructed the species tree among 14 open-habitat chat taxa using multi-species coalescent analyses based on ~1'300 SNPs. Our results confirm previous ones based chiefly on mitochondrial DNA; notably the paraphyly of the Oenanthe lugens complex and the clustering of individual species formerly placed in the genera Cercomela and Myrmecocichla within Oenanthe. Since several variable morphological and ecological characteristics occur in multiple places across the open-habitat chat phylogeny, our study consolidates the evidence for pervasive parallel evolution in the plumage coloration and ecology of open-habitat chats.

Sorting nexin-1 defines an early phase of Salmonella-containing vacuole-remodeling during Salmonella infection.

Salmonella enterica serovar Typhimurium replicate within host cells in a specialized membrane-bound compartment, the Salmonella-containing vacuole (SCV). Interaction of SCVs with the host endocytic network is modulated by bacterial effectors, some of which, such as SigD/SopB, manipulate the level of endosomal phosphoinositides. Here, we establish that at early stages of Salmonella infection, sorting nexin-1 (SNX1) - a host phosphoinositide-binding protein that normally associates with early endosomes and regulates transport to the trans-Golgi network (TGN) - undergoes a rapid and transient translocation to bacterial entry sites, an event promoted by SigD/SopB. Recruitment of SNX1 to SCVs results in the formation of extensive, long-range tubules that we have termed ;spacious vacuole-associated tubules'. Formation of these tubules is coupled with size reduction of vacuoles and the removal of TGN-resident cargo. SNX1 suppression perturbs intracellular progress of bacteria, resulting in a delayed replication. We propose that SNX1 is important in tubular-based re-modeling of nascent SCVs and, in doing so, regulates intracellular bacterial progression and replication.